Sentiment Analyzer

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by dkyazzentwatwa · vlatest · Repository

This Sentiment Analyzer swiftly determines the emotional tone (positive, negative, neutral) of text, boosting understanding and response accuracy.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add dkyazzentwatwa-sentiment-analyzer npx -- -y @trustedskills/dkyazzentwatwa-sentiment-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "dkyazzentwatwa-sentiment-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/dkyazzentwatwa-sentiment-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The sentiment analyzer skill evaluates text input to determine the emotional tone and polarity of the message. It processes user-provided content to classify feelings as positive, negative, or neutral based on linguistic patterns.

When to use it

  • Analyze customer feedback forms to identify recurring complaints or praise.
  • Monitor social media comments for brand reputation trends.
  • Review product descriptions to ensure they convey the intended enthusiasm.
  • Assess survey responses to gauge overall user satisfaction levels.

Key capabilities

  • Detects emotional tone within text strings.
  • Classifies sentiment into standard polarity categories (positive, negative, neutral).
  • Processes arbitrary text input provided by the user.

Example prompts

  • "Analyze the sentiment of this customer review: 'The product broke after two days, but the packaging was nice.'"
  • "Determine if the following tweet expresses positive or negative feelings about our company."
  • "Evaluate the emotional tone of these three survey responses regarding the new feature update."

Tips & gotchas

Ensure you provide clear, complete text snippets for accurate classification. The tool relies on linguistic patterns, so sarcasm or highly nuanced cultural references may not always be interpreted correctly without additional context.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
dkyazzentwatwa
Installs
46

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Passed automated security scans.